Evidence map›Paper›PMID 37594675›Full record

ArticleJournal of urban health : bulletin of the New York Academy of Medicine2023

The Creation of a Multidomain Neighborhood Environmental Vulnerability Index Across New York City.

Stephen P Uong, Jiayi Zhou, Stephanie Lovinsky-Desir, Sandra S Albrecht, Alexander Azan, Earle C Chambers, Perry E Sheffield, Azure Thompson, Joseph Wilson, Jennifer Woo Baidal and 1 more

Open access · hybridAbstract read
In one paragraph

Article in Journal of urban health : bulletin of the New York Academy of Medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
6.9field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 12 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 5 institutions in 1 country.

Stephen P UongDepartment of Epidemiology, Columbia University Mailman School of Public Health, 722 West 168th Street, Room 1608, New York, NY, 10032, USA.
Jiayi ZhouDepartment of Epidemiology, Columbia University Mailman School of Public Health, 722 West 168th Street, Room 1608, New York, NY, 10032, USA.
Stephanie Lovinsky-DesirDepartment of Pediatrics New York, Columbia University Vagelos College of Physicians and Surgeons, New York, NY, USA.
Sandra S AlbrechtDepartment of Epidemiology, Columbia University Mailman School of Public Health, 722 West 168th Street, Room 1608, New York, NY, 10032, USA.
Alexander AzanDepartment of Population Health, NYU Grossman School of Medicine, New York, NY, USA.
Earle C ChambersDepartment of Family and Social Medicine Bronx, Albert Einstein College of Medicine, New York, NY, USA.
Perry E SheffieldDepartment of Environmental Medicine and Public Health New York, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Azure ThompsonSchool of Public Health Brooklyn, SUNY Downstate Health Sciences University New York, New York, NY, USA.
Joseph WilsonDepartment of Environmental Medicine and Public Health New York, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Jennifer Woo BaidalDepartment of Pediatrics New York, Columbia University Vagelos College of Physicians and Surgeons, New York, NY, USA.
Jeanette A StingoneDepartment of Epidemiology, Columbia University Mailman School of Public Health, 722 West 168th Street, Room 1608, New York, NY, 10032, USA. j.stingone@columbia.edu.ORCID 0000-0003-3508-8260
Columbia University · USIcahn School of Medicine at Mount Sinai · USAlbert Einstein College of Medicine · USNew York University · USSUNY Downstate Health Sciences University · US

Funding

Project-005UL1TR001445 · NCATS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI BREDELLA, MIRIAM ANTOINETTE, HOCHMAN, JUDITH S · 2015 to 2025
$103.5M
True Metal fac coreP30ES009089 · NIEHS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI MATTHEW S PERZANOWSKI · 1998 to 2026
$44.7M
The Mount Sinai Transdisciplinary Center on Early Environmental ExposuresP30ES023515 · NIEHS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Manish Arora · 2014 to 2026
$21.3M
Supplemental Training in Making Data FAIR and AI/ML ReadyT32ES007322 · NIEHS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Pam R Factor-Litvak, Allison Kupsco · 2000 to 2026
$12.1M
New York Regional Center for Diabetes Translation Research - Translational Intervention Methodology CoreP30DK111022 · NIDDK · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI JEFFREY GONZALEZ · 2016 to 2026
$7.8M
Research Supplement to Promote Diversity for R01 Pediatric Health in Extreme Weather - Health Effects and Ambient Temperature (PHEW - HEAT)R01ES030717 · NIEHS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI CLOUGHERTY, JANE ELLEN, SHEFFIELD, PERRY ELIZABETH · 2019 to 2023
$2.8M
A DATA SCIENCE APPROACH TO AIR TOXICS AND CHILDREN'S ENVIRONMENTAL HEALTHR00ES027022 · NIEHS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI STINGONE, JEANETTE A · 2018 to 2020
$742k
Physical Activity and Dose of Air Pollution in Pediatric Urban Asthma: Impact of Minute VentilationK01HL140216 · NHLBI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI LOVINSKY-DESIR, STEPHANIE · 2018 to 2021
$692k
Diabetes disparities in Latino subpopulations: linking biology to social epidemiologyK01DK107791 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI ALBRECHT, SANDRA S · 2017 to 2021
$648k
NCATS NIH HHS UL1 TR001445NHLBI NIH HHS K01 HL140216NHLBI NIH HHS K01HL140216NIDDK NIH HHS K01DK107791NIDDK NIH HHS P30 DK111022NIDDK NIH HHS P30DK111022NIEHS NIH HHS P30 ES009089NIEHS NIH HHS P30ES009089NIEHS NIH HHS P30 ES023515NIEHS NIH HHS P30ES023515NIEHS NIH HHS R00 ES027022NIEHS NIH HHS R00ES027022NIEHS NIH HHS R01 ES030717NIEHS NIH HHS R01ES030717NIEHS NIH HHS T32 ES007322NIEHS NIH HHS T32ES007322
6 · The paper itself

Abstract

Compared to previous studies commonly using a single summary score, we aimed to construct a multidomain neighborhood environmental vulnerability index (NEVI) to characterize the magnitude and variability of area-level factors with the potential to modify the association between environmental pollutants and health effects. Using the Toxicological Prioritization Index framework and data from the 2015-2019 U.S. Census American Community Survey and the 2020 CDC PLACES Project, we quantified census tract-level vulnerability overall and in 4 primary domains (demographic, economic, residential, and health status), 24 subdomains, and 54 distinct area-level features for New York City (NYC). Overall and domain-specific indices were calculated by summing standardized feature values within the subdomains and then aggregating and weighting based on the number of features within each subdomain within equally-weighted primary domains. In citywide comparisons, NEVI was correlated with multiple existing indices, including the Neighborhood Deprivation Index (r = 0.91) and Social Vulnerability Index (r = 0.87) but provided additional information on features contributing to vulnerability. Vulnerability varied spatially across NYC, and hierarchical cluster analysis using subdomain scores revealed six patterns of vulnerability across domains: 1) low in all, 2) primarily low except residential, 3) medium in all, 4) high demographic, economic, and residential 5) high economic, residential, and health status, and 6) high demographic, economic and health status. Created using methods that offer flexibility for theory-based construction, NEVI provided detailed vulnerability metrics across domains that can inform targeted research and public health interventions aimed at reducing the health impacts from environmental exposures across urban centers.

Indexed as

Environmental ExposureNevusHealth StatusHumansNew York CityPublic HealthArea-level vulnerabilityData integrationDeprivationEnvironmental justiceSocial determinants of health

Identifiers

PMID37594675
PMCPMC10618140
OpenAlexW4385969575

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.